Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Intelligent control of space cameras

The intelligent control of space cameras project is concerned with development of the next generation of space cameras. Currently, there is a large gap between the onboard capabilities of standard commercial cameras and those currently in space (examples include image resolution, onboard storage, advanced scene understanding and exposure control). Closing this gap for space camera systems will provide higher quality images in general and allow the cameras to operate under a wider range of conditions and correspondingly improve their utility for a variety of different scenarios (from applications in space servicing, rover navigation all the way to direct interpretation of images for scientific agendas). The specific objective of this research project is to characterize and prototype technologies that currently are in use in commercial cameras that might be incorporated into next generation of space cameras.

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Faculty Supervisor:

Richard Wildes

Student:

Andrew Speers

Partner:

MDA Corporation

Discipline:

Engineering - computer / electrical

Sector:

Aerospace and defense

University:

York University

Program:

Accelerate

The potential for ground mustard seed to improve the environment in the farrowing room for sows and piglets

Mustard is grown throughout Western Canada, primarily for use as a condiment. However, mustard growers are seeking other uses for this crop. Of interest is the potential of ground mustard as an anti-microbial. Mustard contains a compound called glucosinolate, which under the right conditions can be converted to isothiocyanate, a proven anti-microbial. This study will determine if rubbing a small amount of ground mustard on the skin of baby piglets, or placed in the sows’ environment, will reduce the environmental pathogen load those piglets are exposed to. This will be accomplished by adding the ground mustard to potato starch which is currently used to dry the piglets shortly after birth. Results may indicate new markets and uses for ground mustard while aiding pork producers with a new strategy to keep their piglets healthy.

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Faculty Supervisor:

Denise Beaulieu

Student:

Josiane Carla Panisson

Partner:

Prairie Swine Centre Inc.

Discipline:

Animal science

Sector:

Agriculture

University:

University of Saskatchewan

Program:

Accelerate

The ParticipACTION App: Evidence Development, Content Enhancement and Knowledge Translation

The objective of the proposed internship is to help support the launch of Phase 2 of an app created by ParticipACTION, Canada’s leading non-profit physical activity organization. The goal of the free app is to motivate inactive Canadians to sit less and move more. This will entail liaising with key experts and organizations in the field to solicit and collect contributing content for the app, conducting literature reviews to help create future evidence-informed content, and identifying appropriate strategies to deliver this information to target audiences and end-users through the app. The organization will benefit from the intern’s presence as she will help develop evidence-informed content for the app and enhance the public-facing provisions of scientific findings, compelling arguments, and innovative solutions to support ParticipACTION’s ultimate goal: helping Canadians sit less and move more.

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Faculty Supervisor:

Patricia Tucker

Student:

Stephanie Truelove

Partner:

ParticipACTION

Discipline:

Kinesiology

Sector:

University:

Western University

Program:

Accelerate

Improving Growth and Intestinal Health of Broiler Chickens Through the Use of Phytogenic Compounds

The increasing concerns of Canadian government and chicken producers and consumers about antibiotic resistance and its threat to health security has led to a significant reduction in the use of antibiotics in poultry farms. This has led to an increase in intestinal health problems, high mortality, and poor growth of farm-raised chickens, causing significant economic losses for poultry farmers. The proposed research will investigate the use of novel phytogenic materials (red osier dogwood (ROD) and grape pomace to enhance immunity of chickens against salmonella infection, improve gut barrier function, and prevent gut inflammation. The project has the potential to decrease losses associated with morbidity and mortality in poultry production, thus increasing profitability of farmers. Also, it promises to bring ROD as poultry feed additive to market, enhance the market reputation of ROD enterprise and increase their profitability.

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Faculty Supervisor:

Deborah Adewole

Student:

Taiwo Erinle

Partner:

Canadian Poultry Research Council

Discipline:

Animal science

Sector:

Agriculture

University:

Dalhousie University

Program:

Accelerate

Public Perceptions on Shared Micromobility

As shared micromobility services (e.g., e-bikes, public bike shares, e-scooters) expand, there are uncertainties in how these will integrate with our current transportation systems. This project aims to examine public perceptions of micromobility in Metro Vancouver to understand the potential for shared micromobility in the region. Using surveys, focus groups, and case studies we ask: Who are the potential users of shared micromobility? What are the barriers and facilitators for use of micromobility? What is the potential for integration with transit services? This project will provide locally-relevant insights to support a smoother transition toward shared micromobility.

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Faculty Supervisor:

Meghan Winters

Student:

Sarah Tremblay

Partner:

HUB Cycling

Discipline:

Other

Sector:

Other services (except public administration)

University:

Simon Fraser University

Program:

Accelerate

A Machine Learning based approach for Portfolio Allocation

The goal of this project is to create new algorithms and state-of-the-art methods for resource allocation in a financial context. This model can be applied to other domains, such as fleet and personnel management, scheduling of computer programs, manufacturing production control or controlling a mobile telecommunication network. Alpine Macro provides market insights, investment strategy and asset allocation recommendations supported by proprietary models, charts and data. This project will enhance Alpine’s repertoire of tools and techniques for supporting investment decisions.

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Faculty Supervisor:

Mark Coates

Student:

Stefano Giacomazzi Dantas

Partner:

Alpine Macro

Discipline:

Engineering - computer / electrical

Sector:

University:

McGill University

Program:

Accelerate

Development and optimization of a food based delivery system for cannabidiol and tetrahydrocannabinol

In early 2020, cannabis edibles will be introduced into the Canadian markets. Although these products will offer a safer alternative to smoking or vaping cannabis, they can still pose certain health risks to consumers and must be controlled for dosage and stability over the product’s entire shelf life. This research project centers on developing a method to introduce cannabis into food or beverages in a safe and stable manner. Many methods for suspending cannabis will be rigorously tested before the best technique, or combination of best techniques is chosen. The partner company will benefit from this research by receiving a tailor made formula to use in their cannabis containing food products and will have an opportunity to widen their research and development expertise. Likewise, the Canadian economy will benefit by solidifying Canada’s position as an expert in the field of cannabis research due to early adoption of cannabis legalization.

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Faculty Supervisor:

Salwa Karboune

Student:

Kelly Light

Partner:

EXKA inc

Discipline:

Food science

Sector:

Manufacturing

University:

McGill University

Program:

Accelerate

Identification of a constitutive material model for an aircraft engine abradable rub strip material

This research project between the University of Windsor and Pratt & Whitney Canada (P&WC) is focused on a porous composite material used by aircraft engine manufacturers in the design of fancases of turbofan engines. The objective of the project is two-fold and includes 1) experimentally investigating the behavior of the composite material at different loading conditions; and 2) identifying a model that can be used to represent this material in fan blade-off simulations. A major benefit to P&WC from having this material model will be increased accuracy of their full-engine numerical models in predicting the outcomes of fan blade-off events. Potentially, this will enable minimizing the number of physical tests required for new engines certification, thus providing multimillion-dollar cost avoidance and decreasing engine development costs and lead-time, allowing P&WC to be more competitive in the global market and deploy new products much faster.

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Faculty Supervisor:

Aleksandr Cherniaev

Student:

Thevika Balakumar

Partner:

Pratt & Whitney Canada

Discipline:

Engineering - mechanical

Sector:

Aerospace and defense

University:

University of Windsor

Program:

Accelerate

An Automatic Tool for Developing Transactive Energy Smart-Contracts: Development, Validation and Integration with the IEMS Blockchain Platform

Energy consumers and prosumers are currently dealing with each other via utility companies, which is a slow, costly and indirect mechanism. With the aim of moving toward a free market, the goal of this project is to provide a suitable platform for automatic development and evolution of smart contracts in distributed transactive energy markets. This platform will make the blockchain technology, underlying smart contracts, applicable to direct transactions between energy consumers and prosumers, enabling additional steps towards a free market. This platform and its smart contract tools will build on the IEMS blockchain and IBM’s Hyperledger platforms, hosted by The Linux Foundation. The resulting platform and tools will help the energy market developers, including IEMS, to develop, edit and apply smart contracts following changes in market policies.

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Faculty Supervisor:

Daniel Amyot;John Mylopoulos

Student:

Alireza Parvizimosaed

Partner:

I-EMS Group

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

University of Ottawa

Program:

Accelerate

TEDS – Train Early Detection System

In Canada there are just over 17,000 public rail crossings—17% have gates, 22% just have bells and lights, and the remaining 61% have a white, reflective X crossing sign which at times is accompanied by a stop sign. In the U.S., the Federal Highway Administration’s (FHWA) latest figures (2009) indicate there are 136,041 public rail crossings—31% have gates, 16% have flashing lights and 1% have highway traffic signals, wigwags and bells. The remaining 52% have a yellow and black crossbuck. Unsecured rail crossings, combined with distracted drivers, can lead to fatal accidents. For example, the Sept 18th, 2013 OC Transpo / VIA rail crash resulted in 6 fatalities and 34 people injured. The TBS investigation determined that distracted driving was a key cause of the crash, and distracted driving is on the rise.
In this project, we will explore and develop the key building blocks to building an efficient and scalable train early detection system (TEDS). The key idea is as follows: As trains move, their locations are updated on a public or private server. User devices such as a smartphone run an APP that checks a user’s location against known train locations.

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Faculty Supervisor:

Thomas Kunz

Student:

Sagnik Banerjee;Saurabh Damani

Partner:

DataMotive

Discipline:

Engineering - computer / electrical

Sector:

Transportation and warehousing

University:

Carleton University

Program:

Accelerate

Utilizing an evaluation of a community initiative to inform lessons for collaborative partnership and service delivery: All In for Youth Case Study

This project aims to provide much needed evidence to community organizations who want to use evaluation findings to better understand how to work with and support vulnerable children and their families in schools. The All in for Youth initiative and its collaborative partners offer integrated, wraparound supports to improve academic outcomes and resiliency of vulnerable children, support family health and stability, get communities involved, and inform policy and systems change. Individual non-profit organizations do not always have the resources, expertise, time, or capacity to intentionally gather evidence to support critical reflection of their services. Balancing the needs of all organizational representatives into one evaluation will be challenging. As will efforts to mobilize evaluation evidence so diverse audiences can learn about the AIFY initiative and its work. This case study will allow the Evaluation Capacity Network research team to more closely examine how community partners, collaboratively delivering services to children and families, develop and use evidence to inform and improve organizational practices, programs, and policies, navigate systems change, and establish common outcomes.

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Faculty Supervisor:

Rebecca Gokiert

Student:

Nicholas Lesyk

Partner:

United Way of Alberta Capital Region

Discipline:

Business

Sector:

Health care and social assistance

University:

University of Alberta

Program:

Accelerate

Wide-baseline Novel Scene Synthesis from a Single Image

Novel view synthesis is the process of generating new images from an unseen perspective, given at least one image of a scene. There may be more than one probable novel view associated with each unseen perspective, an assumption made by existing methods. This simplifying assumption prevents these methods from being applied to more difficult novel views where the set of probable novel views is highly varied. This project proposes to investigate a new approach to generate a wide variety novel views from a single image, and can produce multiple probable outputs. The proposed project will also evaluate the efficacy of the approach with existing approaches on a wide range of camera poses. Major components of this project utilize methods that can be applied to a wider range of domains than computer vision. RBC is a major Canadian bank that can leverage developed methods as part of their products and services.

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Faculty Supervisor:

Michael S. Brown;Kosta Derpanis

Student:

Jason Yu

Partner:

Borealis AI

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

York University

Program:

Accelerate

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